Journal Article

Literature curation of protein interactions: measuring agreement across major public databases

Andrei L. Turinsky, Sabry Razick, Brian Turner, Ian M. Donaldson and Shoshana J. Wodak

in Database

Volume 2010, issue ISSN: 0000-0000
Published online December 2010 | e-ISSN: 1758-0463 | DOI:

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  • Bioinformatics and Computational Biology
  • Ecology and Conservation
  • Evolutionary Biology


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Literature curation of protein interaction data faces a number of challenges. Although curators increasingly adhere to standard data representations, the data that various databases actually record from the same published information may differ significantly. Some of the reasons underlying these differences are well known, but their global impact on the interactions collectively curated by major public databases has not been evaluated. Here we quantify the agreement between curated interactions from 15 471 publications shared across nine major public databases. Results show that on average, two databases fully agree on 42% of the interactions and 62% of the proteins curated from the same publication. Furthermore, a sizable fraction of the measured differences can be attributed to divergent assignments of organism or splice isoforms, different organism focus and alternative representations of multi-protein complexes. Our findings highlight the impact of divergent curation policies across databases, and should be relevant to both curators and data consumers interested in analyzing protein-interaction data generated by the scientific community.

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Journal Article.  8089 words.  Illustrated.

Subjects: Bioinformatics and Computational Biology ; Ecology and Conservation ; Evolutionary Biology